数字往生的心理建构：基于SCOT框架的AI复活争议分析
The Psychological Construction of Digital Afterlife: A SCOT-Based Analysis of the AI Resurrection Controversy

随着AIGC技术发展，AI复活技术引发公众关注，但其公众接受心理机制尚缺实证研究。本研究以SCOT理论为框架，结合认知失调视角，采集2024年1~4月微博平台12,274条原创微博，运用情感分析与LDA主题建模，探究公众对该技术的态度与心理建构过程。研究发现，公众情感态度两极分化明显。48%的负面情感聚焦隐私安全隐患与伦理争议，如担忧数据泄露、批判技术僭越生死界限；35%的正面情感源于技术带来的情感慰藉；17%的中性言论关注技术原理。LDA主题建模提炼出伦理隐私、情感寄托、技术可行性、社会文化影响四大核心主题，进一步佐证情感倾向。从心理学层面剖析，个体情感需求、社会文化背景与技术认知是心理建构关键因素。依恋理论与持续联结理论表明，技术可助丧亲者重建情感联结；社会认知理论解释了文化背景对技术接受度的调节作用，传统丧葬文化地区居民因维护文化认同而抵制技术；风险感知理论则体现技术信息透明度、企业信誉度对公众信任的影响。本研究揭示“技术慰藉”与“伦理恐慌”双峰效应，以及基于SCOT框架的认知动态竞争机制，提出“心理学–SCOT双路径”整合模型，为理解争议性技术与公众心理互动提供新视角，对技术研发、应用及政策制定具指导意义，但存在样本与方法局限，后续可深入探究。
As AIGC technology advances, AI resurrection technology has garnered public attention, yet empirical research on its acceptance psychology remains scarce. Using the SCOT theory and cognitive dissonance perspective, we analyzed 12,274 original Weibo posts from January-April 2024 via sentiment analysis and LDA topic modeling. Findings reveal polarized public sentiment: 48% negative concerns center on privacy risks and ethical issues (e.g., data breaches, questioning life-death boundaries), 35% positive views highlight emotional comfort, and 17% neutral comments focus on technical aspects. LDA modeling identifies four themes—ethics & privacy, emotional sustenance, technical feasibility, and sociocultural impacts—validating sentiment trends. Psychologically, individual needs, cultural context, and technological understanding shape public perception. Attachment theory explains its role in post-loss emotional connection; social cognitive theory links cultural norms (e.g., traditional funeral practices) to resistance; risk perception theory underscores the influence of transparency and corporate trust. This study uncovers the “technological comfort-ethical panic” bimodal effect and the SCOT-based cognitive competition mechanism. The proposed “psychology-SCOT dual-path” model offers a novel framework for analyzing technology-public interactions, guiding R&D and policy, though sample and methodological limitations warrant further research.